About Me
“Happiness is only real when shared.”
- Kuo-Chuan Wu (吳國銓)
- Associate Professor
- Department of Computer Science and Information Engineering
- National Pingtung University, NPTU
- Address: No.51, Minsheng E. Rd., Pingtung City 900392, Taiwan (R.O.C.)
- Email: kcwu@nptu.edu.tw
- Office: Room N520A, Teaching & Resource Building II
- Office Tel: +886-8-7663800 Ext. 32608
- Lab: S424B Computational intelligence & Artificial Intelligence Lab.
Resume
“Stay Hungry, Stay Foolish.”
Academic Experience
Associate Professor
2025/02 - Present
Department of Computer Science and Information Engineering, National Pingtung University, Pingtung, Taiwan
Assistant Professor
2021/08 - 2025/02
Department of Computer Science and Information Engineering, National Pingtung University, Pingtung, Taiwan
Assistant Professor
2021/02 - 2021/08
Department of Information Management, Southern Taiwan University of Science and Technology, Tainan, Taiwan
Workshop Instructor
2015/04 - 2015/09
College of Technology and Design, Toko University, Chiayi, Taiwan
Adjunct Instructor
2015/02 - 2015/07
Department of Digital Multimedia Design, Tajen University, Pingtung, Taiwan
Education
Ph.D. of Engineering in Electronic Engineering
2010 - 2018
National Kaohsiung University of Science and Technology (Jiangong Campus), Kaohsiung, Taiwan
Master of Engineering in Computer Science and Information Engineering
2008 - 2010
National Kaohsiung University of Science and Technology (Jiangong Campus), Kaohsiung, Taiwan
Bachelor of Engineering in Electronic Engineering
2004 - 2008
National Kaohsiung University of Science and Technology (Jiangong Campus), Kaohsiung, Taiwan
Professional Experience
Supervisory
2020/02 - 2021/01
Department of Business System, Advanced Semiconductor Engineering, Inc., Kaohsiung, Taiwan
Section Manager
2018/11 - 2020/01
Department of Fingerprint algorithm, FocalTech Smart Sensors Co., Ltd., Hsinchu, Taiwan
Software engineer
2010/03 - 2015/04
Information office, Cooky’s Digital Park Ltd., Kaohsiung, Taiwan
Research
“Seeking truth is more valuable than possess truth it.”

Artificial Intelligence
- Machine Learning
- Deep Learning
- Data Mining
- Computer Vision
- Artificial Intelligence of Things

Computational Intelligence
- Evolutionary Computation
- Optimization Problem
- Discovery-based Science
- Fuzzy Systems

Biomedical Informatics
- Disease Risk Prediction
- Predictive Modeling
- Modelling Biological Systems
- Health Informatics
- Health monitoring
Publications
“I’ve learned over decades of building that a deadline is a potent tool for problem-solving.”
- All
- Journal
- Conference
- Others
Journal Paper
*The impact factor and the rank are based on the five years before and after the publication of the paper.- Ya-Ting Chuang, Ching-Yu Yen, Jen-Yang Tang, Fang-Rong Chang, Yi-Hong Tsai, Kuo-Chuan Wu, Tsu-Ming Chien, and Hsueh-Wei Chang, "The modulation of immune cell death in connection to microRNAs and natural products," Frontiers in Immunology, vol. 15, December 2024, DOI: 10.3389/fimmu.2024.1425602. (2023 SCIE, IF 5.700, 37/181 Q1 79.8% IMMUNOLOGY)
- Ya-Ting Chuang, Ching-Yu Yen, Tsu-Ming Chien, Fang-Rong Chang, Kuo-Chuan Wu, Yi-Hong Tsai, Jun-Ping Shiau, and Hsueh-Wei Chang, "Natural products modulate phthalate-associated miRNAs and targets," Ecotoxicology and Environmental Safety, vol. 284, p. 117015, October 2024, DOI: 10.1016/j.ecoenv.2024.117015. (2023 SCIE, IF 6.200, 9/106 Q1 92.0% TOXICOLOGY)
- Ya-Ting Chuang, Ching-Yu Yen, Jen-Yang Tang, Kuo-Chuan Wu, Fang-Rong Chang, Yi-Hong Tsai, Tsu-Ming Chien, and Hsueh-Wei Chang, "Marine anticancer drugs in modulating miRNAs and antioxidant signaling," Chemico-Biological Interactions, vol. 399, p. 111142, August 2024, DOI: 10.1016/j.cbi.2024.111142. (2023 SCIE, IF 4.700,16/106 Q1 85.4% TOXICOLOGY)
- Ya-Ting Chuang, Ching-Yu Yen, Tsu-Ming Chien, Fang-Rong Chang, Yi-Hong Tsai, Kuo-Chuan Wu, Jen-Yang Tang, and Hsueh-Wei Chang, "Ferroptosis-Regulated Natural Products and miRNAs and Their Potential Targeting to Ferroptosis and Exosome Biogenesis," International Journal of Molecular Sciences, vol. 25, no. 11, p. 6083, May 2024, DOI: 10.3390/ijms25116083. (2022 SCIE, IF 5.600, 66/285 Q1 77.0% Biochemistry & Molecular Biology)
- Ya-Ting Chuang, Ching-Yu Yen, Jen-Yang Tang, Fang-Rong Chang, Yi-Hong Tsai, Kuo-Chuan Wu, Tsu-Ming Chien, and Hsueh-Wei Chang, "Protein phosphatase 2A modulation and connection with miRNAs and natural products," Environmental Toxicology, vol. 39, no. 6, pp. 3612-3627, March 2024, DOI: 10.1002/tox.24199. (2022 SCIE, IF 4.500, 16/94 Q1 83.5% Toxicology)
- Cheng-Hong Yang, Kuo-Chuan Wu, Li-Yeh Chuang, and Hsueh-Wei Chang, "DeepBarcoding: Deep Learning for Species Classification using DNA Barcoding," IEEE-ACM Transactions on Computational Biology and Bioinformatics, February 2021, DOI: 10.1109/TCBB.2021.3056570. (2022 SCIE, IF 4.500, 7/125 Q1 94.8% Statistics & Probability)
- Jin-Bor Chen, Kuo-Chuan Wu, Sin-Hua Moi, Li-Yeh Chuang, and Cheng-Hong Yang, "Deep learning for intradialytic hypotension prediction in hemodialysis patients," IEEE Access, vol. 8, pp. 82382-82390, April 2020, DOI: 10.1109/ACCESS.2020.2988993. (2019 SCIE, IF 3.745, 35/156 Q1 77.88% Computer Science, Information Systems)
- Ping-Ho Chen, Li-Yeh Chuang, Kuo-Chuan Wu, Yan-Hsiung Wang, Tien-Yu Shieh, Jim Jinn-Chyuan Sheu, Hsueh-Wei Chang, and Cheng-Hong Yang, "Application of simulation-based CYP26 SNP-environment barcodes for evaluating the occurrence of oral malignant disorders by odds ratio-based binary particle swarm optimization: A case-control study in the Taiwanese population, " PLoS One, vol. 14, no. 8, p. e0220719, August 2019, DOI: 10.1371/journal.pone.0220719. (2022 SCIE, IF 3.700, 26/74 Q2 65.1% Multidisciplinary Sciences)
- Cheng-Hong Yang, Kuo-Chuan Wu, Li-Yeh Chuang, and Hsueh-Wei Chang, "Decision theory-based COI SNP tagging approach for 126 Scombriformes species tagging," Frontiers in Genetics, vol. 10, p. 259, April 2019, DOI: 10.3389/fgene.2019.00259. (2021 SCIE, IF 4.772, 43/175 Q1 75.71% Genetics & Heredity)
- Cheng-Hong Yang, Kuo-Chuan Wu, Yu-Shiun Lin, Li-Yeh Chuang, and Hsueh-Wei Chang, "Protein folding prediction in the HP model using ions motion optimization with a greedy algorithm", BioData Mining, vol. 11, p. 17, August 2018, DOI: 10.1186/s13040-018-0176-6. (2022 SCIE, IF 4.500, 9/55 Q1 84.5% Mathematical & Computational Biology)
- Cheng-Hong Yang, Yu-Shiun Lin, Sin-Hua Moi, Kuo-Chuan Wu, Li-Yeh Chuang, and Hsueh-Wei Chang, "Hybrid high exploration particle swarm optimization algorithm improves the prediction of the 2-dimensional hydrophobic-polar model for protein folding," Current Bioinformatics, vol. 13, no. 2, pp. 182-192, March 2018, DOI: 10.2174/1574893612666171006161527. (2021 SCIE, IF 4.850, 8/57 Q1 86.84% Mathematical & Computational Biology)
- Cheng-Hong Yang, Kuo-Chuan Wu, Li-Yeh Chuang, and Hsueh-Wei Chang, "Decision tree algorithm–generated single-nucleotide polymorphism barcodes of rbcL genes for 38 Brassicaceae species tagging," Evolutionary Bioinformatics, vol. 14, January 2018, DOI: 10.1177/1176934318760856. (2022 SCIE, IF 2.600, 24/55 Q2 34.21% Mathematical & Computational Biology)
- Cheng-Hong Yang, Kuo-Chuan Wu, Hans‐Uwe Dahms, Li-Yeh Chuang, and Hsueh-Wei Chang, "Single nucleotide polymorphism barcoding of cytochrome c oxidase I sequences for discriminating 17 species of Columbidae by decision tree algorithm," Ecology and Evolution, vol. 7, no.13, pp. 4717-4725, May 2017, DOI: 10.1002/ece3.3045. (2021 SCIE, IF 3.167, 75/173 Q2 56.94% Ecology)
- Cheng-Hong Yang, Kuo-Chuan Wu, and Li-Yeh Chuang, "Breast cancer risk prediction using ions motion optimization algorithm," Journal of Life Sciences and Technologie, vol. 4, no. 2, pp. 49-55, December 2016, DOI: 10.18178/jolst.4.2.49-55.
- Li-Yeh Chuang, Cheng-SanYang, Kuo-Chuan Wu, and Cheng-HongYang, "Gene selection and classification using Taguchi chaotic binary particle swarm optimization," Expert Systems with Applications, vol. 38, no. 10, pp. 13367-13377, September 2011, DOI: 10.1016/j.eswa.2011.04.165. (2016 SCIE, IF 3.928, 18/133 Q1 86.84% Computer Science, Artificial Intelligence)
- Li-Yeh Chuang, Cheng-Huei Yang, Kuo-Chuan Wu, and Cheng-Hong Yang, "A hybrid feature selection method for DNA microarray data," Computers in Biology and Medicine, vol. 41, no. 4, pp. 228-237, April 2011, DOI: 10.1016/j.compbiomed.2011.02.004. (2016 SCIE, IF 1.836, 35/85 Q2 59.41%, Biology)
- Li-Yeh Chuang, Cheng-SanYang, Kuo-Chuan Wu, and Cheng-Hong Yang, "Correlation-based gene selection and classification using Taguchi-BPSO," Methods of Information in Medicine, vol. 49, no. 3, pp. 254-268, February 2010, DOI: 10.3414/ME09-01-0010. (2014 SCIE, IF 2.248, 18/139 Q1 87.41% Computer Science, Information Systems)
International Conference Paper
- Chia-Ho Ou, Yan-Cheng Lin, Wen-Yu Chen, and Kuo-Chuan Wu, "Solving the Cruise Passenger Itinerary Scheduling Problem Using Quantum-Inspired Computing," 2025 International Conference on Quantum Communications, Networking, and Computing (QCNC 2025) Proceedings of the IEEE International Conference on Quantum Communications, Networking, and Computing (QCNC 2025), Nara, Japan, March 2025.
- Yu-Lian Yu, Ding-Chau Wang, Wen-Yu Chen, and Kuo-Chuan Wu, "Exploring Online Reviews of Family Hotels in Yilan, Taiwan Using Text Mining and Association Analysis: A Case Study of Booking.com", 2024 5th International Artificial Intelligence and Blockchain Conference (AIBC 2024), Tokyo, Japan, September 2024.
- Ming-Chi Chan, Chia-Chun Kang, and Kuo-Chuan Wu, "TSEC Weighted Index prediction based on Fuzzy Self-Tuning PSO-SVR", 2024 5th International Artificial Intelligence and Blockchain Conference (AIBC 2024), Tokyo, Japan, September 2024.
- Yung-Hsing Peng, Ying-Hsu Chen, Po-Cheng Huang, Ho-Chun Lin, Szu-Hsuan Wang, and Kuo-Chuan Wu, "The Development of GPS Trajectory Filter for Agricultural Machinery Application," 2024 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW 2024), Taichung, Taiwan, July 2024, pp. 603-604, DOI: 10.1109/ICCE-Taiwan62264.2024.10674475.
- Shih-Yu Hsueh, Ping-Ho Chen, Ding-Chau Wang, Jhih-Ying Chen, and Kuo-Chuan Wu, "Oral Cancer Risk Prediction by Using Grey Wolf Optimizer-based Multifactor Dimensionality Reduction," 2023 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW 2023), Pingtung, Taiwan, July 2023, pp. 831-832, DOI: 10.1109/ICCE-Taiwan58799.2023. 10226866.
- Cheng-Hong Yang, Kuo-Chuan Wu, Hsueh-Wei Chang, and Li-Yeh Chuang, "Decision Theory-Based Approach for DNA Barcoding via QR Code Representation", The 18th IEEE International Conference on BioInformatics and BioEngineering, Taichung, Taiwan, October 2018, pp. 229-234, DOI: 10.1109/BIBE.2018.00051.
- Cheng-Hong Yang, Kuo-Chuan Wu, and Li-Yeh Chuang, "Breast cancer risk prediction using ions motion optimization algorithm," 5th International Conference on Bioinformatics and Biomedical Science, Bali, Indonesia, June 2016, pp. 52-58.
- Cheng-Hong Yang, Kuo-Chuan Wu, and Li-Yeh Chuang, "Ions motion optimization algorithm for SNP epistasis detection in oral cancer risk prediction," The 6th International Conference on Engineering and Applied Sciences (ICEAS 2016), Hong Kong, June 2016, pp. 16-24.
- Li-Yeh Chuang, Kuo-Chuan Wu, Hsueh-Wei Chang, and Cheng-Hong Yang, "Support vector machine-based prediction for oral cancer using four SNPs in DNA repair genes," International MultiConference of Engineers and Computer Scientists 2011 (IMECS 2011), Hong Kong, March 2011, pp. 426-429.
- Li-Yeh Chuang, Kuo-Chuan Wu, and Cheng-Hong Yang, "A hybrid feature selection method using gene expression data," 9th IEEE International Conference on Bioinformatics and BioEngineering, Taichung, Taiwan, August 2009, pp. 100-106, DOI: 10.1109/BIBE.2009.24.
- Cheng-Hong Yang, Chi-Chun Huang, Kuo-Chuan Wu, and Hsin-Yun Chang, "A novel GA-Taguchi-based feature selection method," 9th International Conference on Intelligent Data Engineering and Automated Learning, Daejeon, South Korea, November 2008, pp. 112-119, DOI: 10.1007/978-3-540-88906-9_15.
- Li-Yeh Chuang, Kuo-Chuan Wu, and Cheng-Hong Yang, "Hybrid feature selection method using gene expression data," 2008 IEEE Conference on Soft Computing in Industrial Applications, Muroran Hokkaido, Japan, June 2008, pp. 199-204, DOI: 10.1109/SMCIA.2008.5045960.
National Conference Paper in Taiwan
- 王智昊、謝育倫、謝尚樺、吳國銓。 "PPG生醫訊號於生理狀態預測模型之特徵研究", 第二十二屆離島資訊技術與應用研討會,金門,2024年5月,pp. 993-997。
- 詹明棋、薛世宇、吳國銓。 "基於算術最佳化結合支持向量回歸應用於金融官股之研究", 第二十二屆離島資訊技術與應用研討會,金門,2024年5月,pp.998-1002。
- 陳怡伶、楊孟潔、吳國銓。 "基於冠豪豬最佳化之特徵選取方法應用於基因微陣列資料", 2024 數位生活科技研討會,台中,2024年5月,pp. 677-684。
- 王智昊、謝育倫、謝尚樺、吳國銓。 "用於穿戴式裝置之PPG 生醫訊號特徵分析研究", 2024 數位生活科技研討會,台中,2024年5月,pp. 685-689。(最佳論文獎)
- 林廷翰、張學偉、吳國銓。 "利用基因演算法進行用於DNA 條碼之鳥類物種編碼", 2024 數位生活科技研討會,台中,2024年5月,pp. 690-696。
- 康珈淳、詹明棋、吳國銓。 "基於算術最佳化結合支持向量回歸應用於臺股金融類指數之研究", 2024 數位生活科技研討會,台中,2024年5月,pp. 697-704。
- 楊孟潔、游雅涵、吳國銓。 "二進制算術最佳化演算法應用於分類問題之特徵選取與參數最佳化", 第三屆明新科技大學工程科技技術應用研討會,新竹,2023年12月,pp.369-378。
- 黃永駿、陳玟妤、吳國銓。 "決戰Z 世代:後疫情時代臺灣郵輪產業之社群網絡評論研究", 2023 休閒產業與健康促進學術研討會,臺北,2023年6月。
- 謝育倫、黃士桀、鄧祐承、朱映竹、吳國銓。 "多元啟發式演算法應用於分類問題", 第二十一屆離島資訊技術與應用研討會,宜蘭,2023年5月。
- 陳芷盈、薛世宇、陳丙何、王鼎超、吳國銓。 "基於算術最佳化演算法應用於口腔癌之病例對照研究", 2023 數位生活科技研討會,高雄,2023年5月,pp.529-534。(最佳論文獎)
- 薛世宇、陳丙何、王鼎超、吳國銓。 "基於模糊集合理論改良多因子降維法之最佳關聯性選擇", 2022 數位生活科技研討會,高雄,2022年5月,pp.389-395。
- 楊正宏、吳國銓、莊麗月、張學偉。 "以決策理論為基礎用於DNA COI物種編碼", 第十七屆離島資訊技術與應用研討會,澎湖,2018年5月,pp. 293-299。
- 莊麗月、吳國銓、楊正宏。 "蛙跳演算法結合K-means應用於群集分析", 第十屆離島資訊技術與應用研討會,台東,2011年5月。
- Li-Yeh Chuang, Kuo-Chuan Wu, Hsueh-Wei Chang, and Cheng-Hong Yang, "Hybrid Taguchi-Binary Particle Swarm Optimization for Osteoporosis Prediction," The Chinese Society of Cell and Molecular Biology, Kaohsuing, Taiwan, February 2011.
- 莊麗月、吳國銓、張學偉、楊正宏。 "機器學習用於疾病預測", 第27屆組合數學與計算理論研討會,臺中,2010年2月,pp. 50-55。
- 莊麗月、吳國銓、張學偉、楊正宏。 "BPSO-KNN 預測骨質疏鬆症", 2009全國計算機會議,臺北,2009年11月,pp. 112-121。
- 莊麗月、吳國銓、張學偉、楊正宏, "BPSO-SVM應用單一核苷群多型性預淵乳癌危險性", 2009年台灣醫學資訊聯合研討會,臺北,2009年10月,pp. 75-81。
- Li-Yeh Chuang, Kuo-Chuan Wu, Hsueh-Wei Chang, and Cheng-Hong Yang, "SNP-based prediction for disease susceptibility using Weka," Symposium of Bioinformatics and Systems Biology in Taiwan 2009 (BIT2009), Taipei, Taiwan, October 2009.
- 楊正宏、吳國銓、莊麗月。 "Meta-PSO最佳化參數用於分類問題", 2008資訊科技國際研討會,臺中,2008年4月,p. 141。
- 楊正三、吳國銓、莊麗月、洪集輝、楊正宏。 "運用Tabu-BPSO 分析生物資訊資料集之分類問題", 第十八屆國際資訊管理學術研討會,臺北,2007年5月,p. 85。
- Cheng-Hong Yang, Kuo-Chuan Wu, and Li-Yeh Chuang, "Feature selection and SVM parameter optimization for microarray with PSO," 15th Symposium on Recent Advances in Cellular and Molecular Biology, Pingtung, Taiwan, February 2007.
- 楊正宏、吳國銓、洪集輝。"粒子族群最佳化用於特徵選取及支持向量機參數最佳化", 第十一屆人工智慧研討會,高雄,2006年12月,pp. 323-330。
- 楊正宏、杜崇睿、吳國銓、張俊陽、劉修祥。"Tabu-PSO用於特徵選取", 第五屆離島資訊技術與應用研討會,金門,2006年6月,p. 3。
- 莊麗月、楊正宏、吳國銓、杜崇睿、林賢龍。"Tabu-PSO用於基因資料表現的特徵選取", 第九屆工程科技與中西醫學應用研討會,臺中,2006年5月,pp. 80-85。
Thesis
- Kuo-Chuan Wu, "Deep Learning in Biomedical Informatics," Ph.D. Dissertation in Electronic Engineering, National Kaohsiung University of Science and Technology (Jiangong Campus), Kaohsiung, Taiwan, July 2018.
- Kuo-Chuan Wu, "Hybrid Taguchi-Binary Particle Swarm Optimization for Disease Prediction," M.S. Thesis in Computer Science and Information Engineering, National Kaohsiung University of Science and Technology (Jiangong Campus), Kaohsiung, Taiwan, July 2010.
Book Chapters
- Li-Yeh Chuang, Cheng-San Yang, Kuo-Chuan Wu, Hsueh-Wei Chang, and Cheng-Hong Yang, "Chapter 7: Hybrid taguchi and binary particle swarm optimization method for tumor Classification," Horizons in Cancer Research, Nova Biomedical, vol. 46, pp. 133-151, May 2012.
Project
“Genius only means hard-working all one’s life.”
- 113 Ministry of Science and Technology Industry Cooperation, "The Development of Four-element Filter as a Cloud Service for Agri-machine Management", with Myshine Technology co., ltd., MOST 113-2622-E-153-001, 2024/11/01~2025/10/31, Principal Investigator.
- 113 Ministry of Science and Technology, "The Era of Grand Cruises: Utilizing Artificial Intelligence Technology to Analyze Online Reviews, Photos, and Preferences of Cruise Tourists on Online Travel Agent," MOST 113-2410-H-153-026, 2024/08/01~2025/07/31, Co-Principal Investigator.
- 111 Ministry of Science and Technology, "Cruise Dream of the Orange Generation: A Study on Facebook Fan Page by Using Web Crawler Technology," MOST 111-2410-H-153-021, 2022/08/01~2023/07/31, Co-Principal Investigator.
- 113年度產學合作計畫:MES系統-智慧模組開發,樺誼科技有限公司,2024/08/01~2024/12/31,主持人
- 113年度產學合作計畫:智慧銷售分析預測系統模組開發研究計畫,揚秦國際企業股份有限公司,2024/04/25~2024/11/20,主持人
- 113年度產學合作計畫:智慧產品預製分析系統模組開發研究計畫,揚秦國際企業股份有限公司,2024/04/25~2024/11/20,主持人
- 113年度產學合作計畫:智慧人員排班系統模組開發研究計畫,揚秦國際企業股份有限公司,2024/04/25~2024/11/20,共同主持人
- 113年度產學合作計畫:OHTC系統軟體開發,禾鏵實業有限公司,2024/04/01~2025/03/31,共同主持人
- 112年度校內計畫:112年度屏東科學園區先導型學術研究計畫「智慧醫療在屏大,以口腔癌病例對照研究為例」,2023/03/03~2023/12/20,主持人
- 112年度校內計畫:112年度國立屏東大學 STEM 學術研究計畫「休閒元宇宙跨域研發人才培育:人工智慧技術結合基礎理論之運用」,2023/03/03~2023/12/20,共同主持人
- 111年度教育部計畫:人工智慧STEM女性研發人才培育計畫,2022/08/01~2023/07/31,協同主持人
- 111年度產學合作計畫:生物技術分析模型設計與數位轉型計畫,億陞智生技股份有限公司,2022/05/23~2022/09/30,計畫主持人
- 111年度校內計畫:國立屏東大學資訊學院111年度AI人工智慧研究計畫「植基於機器學習方法之智慧聯網技術應用於種苗培植」,2022/05/01~2022/12/31,主持人
- 111年度產學合作計畫:先進複材製程參數AI智慧模型評估,財團法人船舶暨海洋產業研發中心,2022/01/03~2022/06/30,計畫主持人
Teaching
“In my whole life, I have known no wise people who didn’t read all the time—none. Zero.”
Courses
- 2025 Spring: Introduction to Biomedical Informatics (CSIE MS: BFBZ079, no. 0327)
- 2025 Spring: Field Practice(D) (CSIE: BFCZ174, no. 2368)
- 2025 Spring: Engineering Seminar II [EMI] (ITA MS: IITA002, no. 0494)
- 2025 Spring: Introduction to Database Systems (CSIE: BFCZ036, no. 0346)
- 2025 Spring: Introduction to Database Systems (CSIE: BFCZ036, no. 0347)
- 2025 Spring: Applications of Computer Science and Information Technology (II) (CSIE BS: BFCZ176, no. 0344)
- 2025 Spring: Special Projects (BDAB: BDT0021, no. 0371)
- 2025 Spring: Special Projects Ⅰ (CSIE: ftp://kcwu@faculty.nptu.edu.tw/www/assets/vendor/bootstrap/css/bootstrap.cssBFCZ031, no. 0423)
- 2025 Spring: Learning Analysis Project (IS: DIS1034, no. 1865)
- 2024 Fall: Big Data Analytics Software (COM: COMC026, no. 2658)
- 2024 Fall: Introduction to Bioinformatics (CSIE MS: BFBZ078, no. 2687)
- 2024 Fall: Field Practice(E) (CSIE: BFCZ173, no. 0533)
- 2024 Fall: Micro-Processor Practices (CSIE: BFCZ030, no. 0533)
- 2024 Fall: Micro-Processor Practices (CSIE: BFCZ030, no. 0668)
- 2024 Fall: Applications of Computer Science and Information Technology (I) (CSIE: BFCZ175, no. 0530)
- 2024 Fall: Special Projects (BDAB: BDT0021, no. 2697)
- 2024 Fall: Special Projects ⅠⅠ (CSIE: BFCZ032, no. 0756)
- 2024 Fall: Machine Learning Applications in Educational Project (COM: COMC028, no. 2659)
- 2024 Spring: Genetic Algorihtm (CSIE MS: BFBZ050, no. 1458)
- 2024 Spring: Introduction to Database Systems (CSIE: BFCZ036, no. 1342)
- 2024 Spring: Applications of Computer Science and Information Technology (II) (CSIE: BFCZ176, no. 1339)
- 2024 Spring: Special Projects Ⅰ (CSIE: BFCZ031, no. 1456)
- 2024 Spring: Learning Analysis Project (IS: DIS1034, no. 2535)
- 2024 Spring: Machine Learning Applications in Educational Project (COM: COMC028, no. 2453)
- 2023 Fall: Bio-inspired Computing (CSIE MS: BFBZ074, no. 1466)
- 2023 Fall: Independent Study (AM: AMU2004, no. 0509)
- 2023 Fall: Engineering Seminar III [EMI] (IT: FAB2213, no. 0287)
- 2023 Fall: Micro-Processor Practices (CSIE: BFCZ030, no. 1588)
- 2023 Fall: Micro-Processor Practices (CSIE: BFCZ030, no. 1587)
- 2023 Fall: Special Projects Ⅱ (CSIE: BFCZ032, no. 1574)
- 2023 Fall: Linear Algebra (CSIE: BFCZ005, no. 1603)
- 2023 Spring: Introduction to Biomedical Informatics (CSIE: BFBZ079, no. 1150)
- 2023 Spring: Field Practice(D) (CSIE: BFCZ174, no. 2524)
- 2023 Spring: Special Projects Ⅰ (CSIE: BFCZ031, no. 1171)
- 2023 Spring: Introduction to digital design and hands-on practice (CSIE: BFCZ172, no. 1126)
- 2023 Spring: Introduction to digital design and hands-on practice (CSIE: BFCZ172, no. 1127)
- 2022 Fall: Engineering Seminar I [EMI] (IT: FAB1101, no. 0233)
- 2022 Fall: Micro-Processor Practices [EMI] (CSIE: BFCZ030, no. 0687)
- 2022 Fall: Micro-Processor Practices [EMI] (CSIE: BFCZ030, no. 0691)
- 2022 Fall: Applications of Computer Science and Information Technology (I) (CSIE: BFCZ175, no. 1699)
- 2022 Fall: pecial Projects Ⅱ (CSIE: BFCZ032, no. 0702)
- 2022 Fall: Linear Algebra (CSIE: BFCZ005, no. 0611)
- 2022 Fall: Introduction to Neural Networks (CSIE: BFCZ084, no. 0695)
- 2022 Spring: Genetic Algorihtm (CSIE MS: BFBZ050 | no. 1004)
- 2022 Spring: Introduction to digital design and hands-on practice (CSIE: BFCZ172 | no. 0895)
- 2022 Spring: Special Projects Ⅰ (CSIE: BFCZ031 | no. 0987)
- 2022 Spring: Introduction to Database Systems (CSIE: BFCZ036 | no. 0819)
- 2021 Fall: Micro-Processor Practices (CSIE: BFCZ030 | no. 2032)
- 2021 Fall: Linear Algebra (CSIE: BFCZ005 | no. 1985)
- 2021 Fall: Machine Learning (CSIE MS: BFBZ030 | no. 2847)
Research Team
“Talent wins games, but teamwork and intelligence wins championships.”
Collaborating Scholar

Topic: Quantum Computing
Chia-Ho Ou 歐家和
ProfessorDepartment of Computer Science and Information Engineering, National Pingtung University (NPTU), Pingtung, Taiwan
Specialty: Quantum Computing, Machine Learning, and Internet of Things
Email: cho@mail.nptu.edu.tw

Topic: Bioinformatics
Ping-Ho Chen 陳丙何
ProfessorSchool of Dentistry, College of Dental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
Specialty: Oral Cancer and Environmental Medicine, Biostatistics, Molecular Epidemiology, and Public Health
Email: phchen@kmu.edu.tw

Topic: Smart Tourism
Wen-Yu Chen 陳玟妤
Associate ProfessorDepartment of Leisure Management, National Pingtung University (NPTU), Pingtung, Taiwan
Specialty: Tourism Industry Marketing and Case Studies, Cruise Tourism, Tourism Social Media Marketing Research, Travel Industry Organizational Behavior Management, and Decision Science
Email: wenyuchen@mail.nptu.edu.tw